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1)  associate matrix
相伴(矩)连
2)  associated matrix
相伴矩阵
3)  concomitant matrix
相伴矩阵
1.
In this paper,first and foremost we study the properties of p-step concomitant matrix Ap for square matrix A,then go further into the eigenvalues relation-ship between matrix Ap and square matrix A.
讨论n阶方阵A的p级相伴矩阵性质,以及A的P级相伴矩阵特征值与方阵A特征值之间的关系。
4)  accompaniment matrix
相伴矩阵
1.
In this paper, by means of infinitesimal transformation, vector product is converted into matrix calculus as introducing accompaniment matrix formulation of vector, which gives the transformation expression of bisector product, finally we obtain the method of inertia tensor matrix.
通过无限小变换,把向量叉乘转换为矩阵运算,在引入向量的相伴矩阵的基础上,给出二重向量叉乘的转换法。
2.
In this paper, by means of infinitesimal transformation, vector product is converted into matrix calculus as introducing accompaniment matrix formulation of vector,which gives the transformation expression of bi-vector product, finallg we obtain matrix formulation of inertia tenso
本文通过无限小变换,把向量叉乘转换为矩阵运算,在引入向量的相伴矩阵表示的基础上,给出二重向量叉乘的转换式,最后得到惯性张量的矩阵表达式。
5)  associated continued fraction
相伴连分数
6)  p-step concomitant matrix
p级相伴矩阵
1.
In this paper,first and foremost we study the properties of p-step concomitant matrix Ap for square matrix A,then go further into the eigenvalues relation-ship between matrix Ap and square matrix A.
讨论n阶方阵A的p级相伴矩阵性质,以及A的P级相伴矩阵特征值与方阵A特征值之间的关系。
补充资料:相伴
1.陪伴;伴随。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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